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Lead the Scene Generation team to define technical vision and roadmap for neural rendering and generative models. Turn research (NeRF, 3D Gaussian splatting, diffusion/flow models) into production-quality camera/LiDAR/radar sensor simulation, own framework end-to-end, integrate and scale pipelines in cloud/VDI environments, drive cross-team alignment, and mentor/hire engineers.

Lead SOTIF evaluations and safety assessments for autonomous trucking systems. Identify functional insufficiencies, perform risk analyses, derive safety requirements, define V&V strategies, and collaborate with systems, AI-ML, and software teams to ensure compliance with SOTIF/functional safety standards and safe deployment.

The Senior ML Engineer will architect data pipelines, develop classification algorithms, manage data integration, and mentor team members in a cross-functional setting.

Lead design and delivery of cloud-based pipelines that convert multi-sensor AV logs into VLM/VLA training datasets. Build VLM-assisted auto-labeling, generate language-grounded reasoning labels, mine rare scenarios, define dataset schemas and quality metrics, and operationalize continuous dataset delivery. Mentor engineers and partner with model teams to improve downstream model performance using distributed compute and scalable MLOps.